abstract = "Change points in time series appear due to variations
in the data generation process. We consider the problem
of modeling time series generated by dynamic processes,
and we focus on finding the change points using a
specially tailored genetic algorithm. The algorithm
employs a new representation, described in detail in
the paper. Suitable genetic operators are also defined
and explained. The results obtained on computer
generated time series provide evidence that the
approach can be used for change point detection, and
has good potential for time series modeling.",